Some remarks on measurement models in the structural equation model: an application for socially responsible food consumption

Pasquale Sarnacchiaro and Flavio Boccia

Journal of Applied Statistics, 2018, vol. 45, issue 7, 1193-1208

Abstract: Considering the structural equation model (SEM), usually the main researches are based on the structural model rather than on the measurement one. So, this context implies some problems: construct misspecification, identification and validation. Starting from the most recent articles in terms of these issues, we achieve – and formalize through two tables – a general framework that could help researchers select and assess both formative and reflective measurement models with special attention on statistical implications. To show this general framework, we present a survey on customer behaviours for socially responsible food consumption. The survey was carried out by delivering a questionnaire administered to a representative sample of 332 families. In order to detect the main aspects impacting consumers’ preferences, a factor analysis has been performed. Then the general framework has been used to select and assess the measurement models in SEM. The estimation of the SEM has been worked out by partial least squares. The significance of the indicators has been tested using bootstrap. As far as we know, it is the first time that a model for the analysis of the consumers’ behaviour for social responsibility is formalized through a SEM.

Date: 2018
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Citations: View citations in EconPapers (9)

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DOI: 10.1080/02664763.2017.1363162

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